James (Bryce) Yang

Honors CS & Stats Student @ NCSU

About Me Work Experience Research Projects
Blog

About Me

Welcome to my website!

I'm a senior majoring in computer science and minoring in statistics at NC State University (go pack!). I'm deeply passionate about applied machine learning in medicine and computational biology, which I plan to pursue in medical school and beyond. When I'm not doing research, I invest my time in rock climbing via competing and coaching the NCSU Competitive Rock Climbing Team. I have competed in the North American Cup Series for Bouldering, as well as Sport & Bouldering Combined Nationals.

I was recently named a 2026 recipient of the Barry M. Goldwater Scholarship.

James (Bryce) Yang rock climbing

Education

North Carolina State University

Year: 2023-2027

Degree: Computer Science B.S.

GPA: 4.00

Courses: Machine Learning, Linear Algebra, Data Structures, Algorithms, Software Development Fundamentals, Calculus I-III, Calculus-Based Statistics, Discrete Mathematics, Object Oriented Programming, Computing Environments

Extracurriculars:

  • Pack Climbing - Competitive Team Head Coach
  • Pack Climbing - Treasurer

University of North Carolina at Asheville

Year: 2023-2024

Degree: Computer Science B.S.

GPA: 3.98

Extracurriculars:

  • Undergraduate Research w/ Dr. Evelyn Chiang
  • VP of Diversity, Equity, and Inclusion in the Inter-Greek Council
  • President and Founder of Climbing Club
  • Sigma Nu Scholarship Chair

Skills

Programming Languages

Data Analytics

IDEs and Tools

Work Experience

Research Assistant

NC State University - AI Assisted Learning Lab

May 2026 - Present

  • Conducting comprehensive literature reviews across AI in education and neurosymbolic learning systems to keep the lab's research aligned with the latest advances in the field.
  • Contributing to the writing and review of grant proposals for National Science Foundation (NSF) funding.
  • Leading application design and prototyping to support and demonstrate grant proposals.

RAPID Research Intern

UNC Chapel Hill - Carolina Health Informatics Program

June - July 2025

  • Developed a novel deep learning–based tool for classifying biosynthetic gene clusters within plants, achieving 94.8% accuracy and demonstrating performance rivaling existing rule-based methods.
  • Worked closely with medical doctors in both lecture and hospital settings, identifying areas of research within medicine and biology.
  • Concluded with a research poster and oral presentation presented to faculty members, clinicians, and departmental leaders.

Master Data Intern

ABB

January - May 2025

  • Collaborating with Global Product Managers to improve the quality of product master data while using analytical skills to identify and address discrepancies and inaccuracies.
  • Evaluating product data quality, focusing on product lines, and establish connections between product lines, PGs, and product codes to ensure organizational consistency
  • Documenting processes, issues, and resolutions, and generating reports using PowerBI to support decision-making.

Undergraduate Research Assistant

UNC Asheville

September 2023 - May 2024

  • Collaborated with a small team of determined individuals to aid AAPI students in their college experience.
  • Implemented Excel to gather and analyze data, performing exploratory data analysis to uncover patterns and insights into student experiences on campus.
  • Displayed and presented research findings at the Undergraduate Research Symposium, communicating data-driven insights through visual aids and a detailed explanation of the analysis process.

Research

Google Scholar

arXiv Preprint Deep Learning Computational Biology

DeepDTF: Dual-Branch Transformer Fusion for Multi-Omics Anticancer Drug Response Prediction

An end-to-end dual-branch Transformer fusion framework for anticancer drug response prediction. It pairs modality-specific multi-omics cell-line encoders with a GNN-Transformer drug branch, and provides biologically grounded explanations through SHAP-based gene attributions and pathway enrichment.

View on arXiv
Oral presentation on marketing diversity research
Oral Presentation Social & Behavioral Research Psychology

Marketing Diversity: Photographing Students of Color on PWI Campuses.

Conducted a visual analysis of university marketing materials to examine how students of color are portrayed in recruitment content. Completed CITI Social & Behavioral Research certification to uphold ethical standards in handling sensitive information.

Poster presentation on AAPI students' experience of microaggressions
Poster Presentation Social & Behavioral Research Psychology

“I Really Shouldn't Complain”: AAPI College Students' Experience of Microaggressions.

Investigated how Asian American and Pacific Islander (AAPI) students perceive and respond to microaggressions in higher education settings, using qualitative interview data.

Projects

FluxBiz Insights project

FluxBiz Insights

Languages/Tools: Python, Pandas, NumPy, Scikit-learn, Tableau, Excel

Description: Developed a program that generates predictive insights for retail businesses from traffic data with a team of 3 developers. Cleaned and organized 5 datasets with over 600,000 total elements with Excel and Python utilizing Pandas and NumPy, fit a linear regression model with Scikit-learn, and produced data visualizations in Tableau. Presented to a panel of data scientists at the CDC Datathon, placing 5th out of over 200 competitors.

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Sage AI project

Sage AI

Languages/Tools: Python, PyTorch, OpenCV, MediaPipe, Streamlit, Docker

Description: Developed a public web application that utilizes computer vision to perform real-time pose estimation for the purpose of improving study and work habits. Tracks eye and head positions to provide users with insight on their level of focus. Additional functionality allows users to import prerecorded videos for posture detection.

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